Mark Webber

16.5k total citations · 5 hit papers
180 papers, 10.5k citations indexed

About

Mark Webber is a scholar working on Molecular Medicine, Molecular Biology and Political Science and International Relations. According to data from OpenAlex, Mark Webber has authored 180 papers receiving a total of 10.5k indexed citations (citations by other indexed papers that have themselves been cited), including 62 papers in Molecular Medicine, 47 papers in Molecular Biology and 40 papers in Political Science and International Relations. Recurrent topics in Mark Webber's work include Antibiotic Resistance in Bacteria (62 papers), Bacterial biofilms and quorum sensing (28 papers) and Vibrio bacteria research studies (24 papers). Mark Webber is often cited by papers focused on Antibiotic Resistance in Bacteria (62 papers), Bacterial biofilms and quorum sensing (28 papers) and Vibrio bacteria research studies (24 papers). Mark Webber collaborates with scholars based in United Kingdom, United States and China. Mark Webber's co-authors include Laura J. V. Piddock, Jessica M. A. Blair, David Olusoga Ogbolu, Alison J. Baylay, Martin J. Woodward, Eleftheria Trampari, Ilyas Alav, Elizabeth M. Darby, Pauline Siasat and James Sperling and has published in prestigious journals such as Journal of Biological Chemistry, SHILAP Revista de lepidopterología and PLoS ONE.

In The Last Decade

Mark Webber

170 papers receiving 10.2k citations

Hit Papers

Molecular mechanisms of antibiotic resistance 2002 2026 2010 2018 2014 2022 2014 2002 2024 500 1000 1.5k 2.0k 2.5k

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Mark Webber United Kingdom 47 4.0k 3.5k 1.6k 1.5k 1.4k 180 10.5k
Diarmaid Hughes Sweden 45 4.1k 1.0× 4.5k 1.3× 2.4k 1.5× 795 0.5× 796 0.6× 157 11.5k
James Spencer United Kingdom 50 6.5k 1.6× 2.9k 0.8× 2.3k 1.4× 1.6k 1.1× 734 0.5× 222 11.7k
Paolo Visca Italy 61 3.9k 1.0× 5.9k 1.7× 635 0.4× 2.3k 1.5× 756 0.5× 288 12.3k
Martti Vaara Finland 48 3.2k 0.8× 4.8k 1.4× 539 0.3× 1.2k 0.8× 2.2k 1.5× 168 11.9k
Xi Huang China 44 4.4k 1.1× 2.9k 0.8× 2.2k 1.4× 1.6k 1.0× 993 0.7× 194 10.8k
Herbert P. Schweizer United States 57 4.1k 1.0× 9.1k 2.6× 1.2k 0.7× 2.3k 1.5× 522 0.4× 201 15.5k
Stefania Stefani Italy 47 2.8k 0.7× 3.2k 0.9× 1.6k 1.0× 893 0.6× 790 0.6× 363 10.7k
Keith Poole Canada 69 8.2k 2.1× 7.9k 2.3× 1.7k 1.0× 2.4k 1.6× 754 0.5× 150 15.2k
Jessica M. A. Blair United Kingdom 24 2.4k 0.6× 2.1k 0.6× 867 0.5× 695 0.5× 669 0.5× 55 5.7k
Anton Y. Peleg Australia 57 6.9k 1.7× 4.4k 1.3× 1.0k 0.6× 2.8k 1.9× 625 0.4× 223 14.0k

Countries citing papers authored by Mark Webber

Since Specialization
Citations

This map shows the geographic impact of Mark Webber's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Mark Webber with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Mark Webber more than expected).

Fields of papers citing papers by Mark Webber

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Mark Webber. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Mark Webber. The network helps show where Mark Webber may publish in the future.

Co-authorship network of co-authors of Mark Webber

This figure shows the co-authorship network connecting the top 25 collaborators of Mark Webber. A scholar is included among the top collaborators of Mark Webber based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Mark Webber. Mark Webber is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Webber, Mark. (2023). Identity, status and role in UK foreign policy: Brexit and beyond. International Politics. 7 indexed citations
2.
Felgate, Heather, Dheeraj Sethi, Christoph Härtel, et al.. (2023). Characterisation of neonatal Staphylococcus capitis NRCS-A isolates compared with non NRCS-A Staphylococcus capitis from neonates and adults. Microbial Genomics. 9(10). 3 indexed citations
3.
4.
Carter, Luke N., Paula E. Colavita, David A. Hoey, et al.. (2022). Surface Free Energy Dominates the Biological Interactions of Postprocessed Additively Manufactured Ti-6Al-4V. ACS Biomaterials Science & Engineering. 8(10). 4311–4326. 21 indexed citations
5.
Yasir, Muhammad, A. Keith Turner, Sarah Bastkowski, et al.. (2022). Genome-Wide Analysis of Innate Susceptibility Mechanisms of Escherichia coli to Colistin. Antibiotics. 11(11). 1668–1668. 1 indexed citations
6.
Yasir, Muhammad, et al.. (2021). Massively parallel transposon mutagenesis identifies temporally essential genes for biofilm formation in Escherichia coli. Microbial Genomics. 7(11). 22 indexed citations
7.
Turner, A. Keith, Muhammad Yasir, Sarah Bastkowski, et al.. (2021). Chemical biology-whole genome engineering datasets predict new antibacterial combinations. Microbial Genomics. 7(12). 7 indexed citations
8.
Turner, A. Keith, Muhammad Yasir, Sarah Bastkowski, et al.. (2020). A genome-wide analysis of Escherichia coli responses to fosfomycin using TraDIS-Xpress reveals novel roles for phosphonate degradation and phosphate transport systems. Journal of Antimicrobial Chemotherapy. 75(11). 3144–3151. 16 indexed citations
9.
Page, Andrew J., Sarah Bastkowski, Muhammad Yasir, et al.. (2020). AlbaTraDIS: Comparative analysis of large datasets from parallel transposon mutagenesis experiments. PLoS Computational Biology. 16(7). e1007980–e1007980. 20 indexed citations
10.
Hall, Thomas J., Victor M. Villapún, Owen Addison, et al.. (2020). A call for action to the biomaterial community to tackle antimicrobial resistance. Biomaterials Science. 8(18). 4951–4974. 43 indexed citations
11.
Bodansky, David, Irena Begaj, Felicity Evison, et al.. (2020). A 16‐year Longitudinal Cohort Study of Incidence and Bacteriology of Necrotising Fasciitis in England. World Journal of Surgery. 44(8). 2580–2591. 14 indexed citations
14.
Hughes, Gareth W. & Mark Webber. (2017). Novel approaches to the treatment of bacterial biofilm infections. British Journal of Pharmacology. 174(14). 2237–2246. 120 indexed citations
15.
Richmond, Grace E., Michele J. Anderson, Matthew E. Wand, et al.. (2016). The Acinetobacter baumannii Two-Component System AdeRS Regulates Genes Required for Multidrug Efflux, Biofilm Formation, and Virulence in a Strain-Specific Manner. mBio. 7(2). e00430–16. 127 indexed citations
16.
Webber, Mark, et al.. (2015). Parallel evolutionary pathways to antibiotic resistance selected by biocide exposure. Journal of Antimicrobial Chemotherapy. 70(8). 2241–2248. 115 indexed citations
17.
Browning, Douglas F., Timothy J. Wells, Faye C. Morris, et al.. (2013). Laboratory adapted E scherichia coli K ‐12 becomes a pathogen of C aenorhabditis elegans upon restoration of O antigen biosynthesis. Molecular Microbiology. 87(5). 939–950. 58 indexed citations
18.
Webber, Mark, Vito Ricci, Rebekah N. Whitehead, et al.. (2013). Clinically Relevant Mutant DNA Gyrase Alters Supercoiling, Changes the Transcriptome, and Confers Multidrug Resistance. mBio. 4(4). 61 indexed citations
19.
Webber, Mark, James Sperling, & Martin A. Smith. (2012). Where is NATO going. 1–21. 1 indexed citations
20.
Webber, Mark, et al.. (2006). The Impact of EU Unfair Contract Terms Law on U.S. Business-to-Consumer Internet Merchants. 62. 209. 2 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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